| 09:00 - 09:30 |
Welcome |
Slides |
| 09:35 - 10:30 |
Introduction to R and R Markdown |
Slides |
| 10:45 - 12:00 |
Introduction to Data |
Slides ● File |
| 09:00 - 09:50 |
Describing Data with Numbers |
Slides ● File |
| 10:00 - 10:50 |
Interpeting Data Visualizations |
Slides |
| 11:00 - 12:00 |
Visualizing Data |
Slides ● File |
| 13:00 - 15:00 |
Lab: Summarizing Data |
File |
| 09:00 - 09:40 |
Improving Data Visualizations |
Slides ● File |
| 09:40 - 10:00 |
Pipe operator |
Slides |
| 10:10 - 11:00 |
Subsetting and Grouping Data |
Slides ● File |
| 11:10 - 12:00 |
Changing Variables |
Slides |
| 09:00 - 09:50 |
Introduction to probability |
Slides ● Activity |
| 10:00 - 10:50 |
Joint vs. marginal |
|
| 11:00 - 12:00 |
Conditional probability and independence |
|
| 09:00 - 09:50 |
Random variables |
Slides ● Activity |
| 10:00 - 10:50 |
Probability distributions |
|
| 11:00 - 12:00 |
Discrete vs. continuous distributions |
|
| 09:00 - 09:50 |
Null vs. alternative |
Slides ● Activity |
| 10:00 - 10:50 |
t-test |
|
| 11:00 - 12:00 |
z-test for proportions |
|
| 09:00 - 09:50 |
Two-sample t-test |
Slides ● Activity |
| 10:00 - 10:50 |
Chi-squared test for contingency tables |
|
| 11:00 - 12:00 |
Overview of the final project |
|
| 09:00 - 09:50 |
Introduction |
Slides ● Activity |
| 10:00 - 10:50 |
Binary explanatory variable |
|
| 11:00 - 12:00 |
Numerical explanatory variable |
|
| 09:00 - 09:50 |
Introduction |
Slides ● Activity |
| 10:00 - 10:50 |
Additive models |
|
| 11:00 - 12:00 |
Interaction |
|
| 09:00 - 09:50 |
Introduction |
Slides ● Activity |
| 10:00 - 10:50 |
One binary explanatory variable |
|
| 11:00 - 12:00 |
Multiple explanatory variables |
|
Review of statistical inference.
Data pre-processing and preliminary analysis for the final project.